Workshop on Learning-based Methods
for Inverse Problems

This workshop brings together researchers working on learning-based methods for inverse problems and physics, covering topics including:

• Self-supervised and unsupervised learning for imaging
• Uncertainty quantification and Bayesian approaches
• Unrolled algorithms for inverse problems
• Plug-and-play and diffusion models for image reconstruction
• Theoretical foundations of learning-based reconstruction

The workshop will take place at ENS Lyon, France, on 14–15 September 2026.

Registration is free, and can be done by filling up this form. We are currently accepting poster contributions. Deadline for registration: Sep 5.